Ryan R. Curtin

59 papers A* 3A 5B 4Journal 38Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets. AAAI Ryan R. Curtin, Fred Lu, Edward Raff, Priyanka Ranade
2025	J	`jnl`	Armadillo: An Efficient Framework for Numerical Linear Algebra. CoRR Conrad Sanderson, Ryan R. Curtin
2025	—	`conf`	Armadillo: an Efficient Framework for Numerical Linear Algebra. ICCAE Conrad Sanderson, Ryan R. Curtin
2025	J	`jnl`	Bandicoot: A Templated C++ Library for GPU Linear Algebra. CoRR Ryan R. Curtin, Marcus Edel, Conrad Sanderson
2025	J	`jnl`	Intermediate N-Gramming: Deterministic and Fast N-Grams For Large N and Large Datasets. CoRR Ryan R. Curtin, Fred Lu, Edward Raff, Priyanka Ranade
2025	—	`conf`	Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. ECML/PKDD (5) Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2025	A	`conf`	Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora. CIKM Edward Raff, Ryan R. Curtin, Derek Everett, Robert J. Joyce, James Holt
2025	J	`jnl`	Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora. CoRR Edward Raff, Ryan R. Curtin, Derek Everett, Robert J. Joyce, James Holt
2024	A*	`conf`	High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. KDD Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2024	J	`jnl`	High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. CoRR Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2024	J	`jnl`	Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. CoRR Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2023	J	`jnl`	Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing. CoRR Ryan R. Curtin, Marcus Edel, Conrad Sanderson
2023	J	`jnl`	mlpack 4: a fast, header-only C++ machine learning library. CoRR Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson
2023	J	`jnl`	mlpack 4: a fast, header-only C++ machine learning library. J. Open Source Softw. Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson
2021	B	`conf`	An Approximation Algorithm for the Matrix Tree Multiplication Problem. MFCS Mahmoud Abo Khamis, Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs, Alireza Samadian
2021	J	`jnl`	The ensmallen library for flexible numerical optimization. CoRR Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
2021	J	`jnl`	The ensmallen library for flexible numerical optimization. J. Mach. Learn. Res. Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
2020	—	`conf`	An Adaptive Solver for Systems of Linear Equations. ICSPCS Conrad Sanderson, Ryan R. Curtin
2020	J	`jnl`	An Adaptive Solver for Systems of Linear Equations. CoRR Conrad Sanderson, Ryan R. Curtin
2020	J	`jnl`	Flexible numerical optimization with ensmallen. CoRR Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson
2020	J	`jnl`	Functional Aggregate Queries with Additive Inequalities. ACM Trans. Database Syst. Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2020	A	`conf`	Rk-means: Fast Clustering for Relational Data. AISTATS Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2020	A	`conf`	Unconditional Coresets for Regularized Loss Minimization. AISTATS Alireza Samadian, Kirk Pruhs, Benjamin Moseley, Sungjin Im, Ryan R. Curtin
2019	B	`conf`	Detecting DGA domains with recurrent neural networks and side information. ARES Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski, Alexey Kleymenov, Alejandro Mosquera
2019	J	`jnl`	Exploiting the structure of furthest neighbor search for fast approximate results. Inf. Syst. Ryan R. Curtin, Javier R. Echauz, Andrew B. Gardner
2019	J	`jnl`	On Coresets for Regularized Loss Minimization. CoRR Ryan R. Curtin, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian
2019	A*	`conf`	On Functional Aggregate Queries with Additive Inequalities. PODS Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2019	J	`jnl`	Rk-means: Fast Clustering for Relational Data. CoRR Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2018	—	`conf`	A User-Friendly Hybrid Sparse Matrix Class in C++. ICMS Conrad Sanderson, Ryan R. Curtin
2018	J	`jnl`	A User-Friendly Hybrid Sparse Matrix Class in C++. CoRR Conrad Sanderson, Ryan R. Curtin
2018	J	`jnl`	Detecting DGA domains with recurrent neural networks and side information. CoRR Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski, Alexey Kleymenov, Alejandro Mosquera
2018	J	`jnl`	On Functional Aggregate Queries with Additive Inequalities. CoRR Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich
2018	J	`jnl`	User-Friendly Sparse Matrices with Hybrid Storage and Template-Based Expression Optimisation. CoRR Conrad Sanderson, Ryan R. Curtin
2018	J	`jnl`	ensmallen: a flexible C++ library for efficient function optimization. CoRR Shikhar Bhardwaj, Ryan R. Curtin, Marcus Edel, Yannis Mentekidis, Conrad Sanderson
2018	J	`jnl`	mlpack 3: a fast, flexible machine learning library. J. Open Source Softw. Ryan R. Curtin, Marcus Edel, Mikhail Lozhnikov, Yannis Mentekidis, Sumedh Ghaisas, Shangtong Zhang
2017	A	`conf`	A Dual-Tree Algorithm for Fast SDM Ryan R. Curtin
2017	J	`jnl`	A generic and fast C++ optimization framework. CoRR Ryan R. Curtin, Shikhar Bhardwaj, Marcus Edel, Yannis Mentekidis
2017	J	`jnl`	An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture Models, k-Means and Expectation Maximisation. CoRR Conrad Sanderson, Ryan R. Curtin
2017	—	`conf`	An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation. ICSPCS Conrad Sanderson, Ryan R. Curtin
2017	J	`jnl`	Designing and building the mlpack open-source machine learning library. CoRR Ryan R. Curtin, Marcus Edel
2017	J	`jnl`	Detecting Adversarial Samples from Artifacts. CoRR Reuben Feinman, Ryan R. Curtin, Saurabh Shintre, Andrew B. Gardner
2017	J	`jnl`	gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation. J. Open Source Softw. Conrad Sanderson, Ryan R. Curtin
2016	J	`jnl`	Armadillo: a template-based C++ library for linear algebra. J. Open Source Softw. Conrad Sanderson, Ryan R. Curtin
2016	J	`jnl`	Dual-tree $k$-means with bounded iteration runtime. CoRR Ryan R. Curtin
2016	B	`conf`	Fast Approximate Furthest Neighbors with Data-Dependent Candidate Selection. SISAP Ryan R. Curtin, Andrew B. Gardner
2016	J	`jnl`	Fast approximate furthest neighbors with data-dependent hashing. CoRR Ryan R. Curtin, Andrew B. Gardner
2016	—	`—`	Improving dual-tree algorithms. Ryan R. Curtin
2015	B	`conf`	Faster Dual-Tree Traversal for Nearest Neighbor Search. SISAP Ryan R. Curtin
2015	J	`jnl`	Plug-and-play dual-tree algorithm runtime analysis. CoRR Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram
2015	J	`jnl`	Plug-and-play dual-tree algorithm runtime analysis. J. Mach. Learn. Res. Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram
2014	—	`conf`	Classifying broiler chicken condition using audio data. GlobalSIP Ryan R. Curtin, Wayne Daley, David V. Anderson
2014	J	`jnl`	Dual-tree fast exact max-kernel search. Stat. Anal. Data Min. Ryan R. Curtin, Parikshit Ram
2013	A	`conf`	Fast Exact Max-Kernel Search. SDM Ryan R. Curtin, Alexander G. Gray, Parikshit Ram
2013	J	`jnl`	MLPACK: a scalable C++ machine learning library. J. Mach. Learn. Res. Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
2013	J	`jnl`	Tree-Independent Dual-Tree Algorithms CoRR Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles Lee Isbell Jr.
2013	—	`conf`	Tree-Independent Dual-Tree Algorithms. ICML (3) Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles L. Isbell Jr.
2012	J	`jnl`	Fast Exact Max-Kernel Search CoRR Ryan R. Curtin, Parikshit Ram, Alexander G. Gray
2012	J	`jnl`	MLPACK: A Scalable C++ Machine Learning Library CoRR Ryan R. Curtin, James R. Cline, N. P. Slagle, William B. March, Parikshit Ram, Nishant A. Mehta, Alexander G. Gray
2011	—	`conf`	Learning distances to improve phoneme classification. MLSP Ryan R. Curtin, Nikolaos Vasiloglou, David V. Anderson